Job Description
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Written by AI from the job title and company, not by Jobot, so some details may not match this job. The employer's own page has the real description.
Job Overview
As a Principal Site Reliability Engineer (SRE) specializing in AI Security at Jobot, you will play a pivotal role in shaping the reliability and security of our AI infrastructure. You will lead a team of SREs to ensure that our systems are robust, scalable, and secure while working closely with software development and product teams to maintain high availability and performance standards. Your expertise will guide the implementation of best practices in system security and reliability, ultimately delivering a secure and efficient experience to our users.
Job Responsibilities
- Lead the development and implementation of AI security protocols and reliability strategies.
- Design, automate, and maintain scalable and highly available systems and infrastructure.
- Monitor system performance, reliability, and security while driving continuous improvement through incident reviews and postmortems.
- Collaborate with cross-functional teams on system design, architecture, and capacity planning.
- Develop and maintain SRE metrics, reporting, and dashboards to enforce accountability and track performance goals.
- Mentor and guide junior SRE staff by sharing knowledge and best practices related to AI and system security.
- Participate in on-call responsibilities and troubleshoot production issues effectively.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- A minimum of 8 years of experience in Site Reliability Engineering, DevOps, or similar roles, with a focus on AI security.
- Proficient in programming languages such as Python, Go, or Java.
- Extensive experience with cloud services (AWS, Google Cloud, Azure) and container orchestration (Kubernetes, Docker).
- Deep understanding of network security protocols and practices.
- Strong analytical and problem-solving skills with a focus on reliability and performance.
- Excellent communication and teamwork skills to work effectively with various stakeholders.
Technologies & Tools
In the role of Principal SRE, candidates will work with a variety of technologies and tools, including but not limited to cloud platforms such as AWS and Google Cloud, containerization tools like Docker and Kubernetes, monitoring and logging software such as Prometheus and Grafana, as well as security frameworks to ensure compliance and safeguard our AI systems. Familiarity with CI/CD pipelines and configuration management tools like Terraform or Ansible will also be beneficial.
Ideal Candidates
The ideal candidate for the Principal SRE position should demonstrate a deep passion for system reliability and security, especially in the realm of AI technologies. They should possess strong leadership qualities, capable of mentoring and guiding staff while driving team initiatives. Furthermore, a proactive mindset towards problem-solving, combined with effective communication skills and the ability to foster collaborative relationships, will enhance their success in this dynamic startup environment. A commitment to staying updated with the latest trends in AI and security will be highly regarded.
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